Title : Distinct urinary
glycoprotein signatures in prostate cancer patients
Abstract :
- Novel biomarkers are needed to complement prostate specific antigen ( PSA ) in prostate cancer (PCa) diagnostic screening programs
- Glycoproteins represent a hitherto largely untapped resource with a great potential as specific and sensitive tumor biomarkers due to their abundance in bodily fluids and their dynamic and cancer-associated glycosylation
- However, quantitative glycoproteomics strategies to detect potential glycoprotein cancer markers from complex biospecimen are only just emerging
- Here, we describe a glycoproteomics strategy for deep quantitative mapping of N- and O-glycoproteins in urine with a view to investigate the diagnostic value of the glycoproteome to discriminate PCa from benign prostatic hyperplasia (BPH), two conditions that remain difficult to clinically stratify
- Total protein extracts were obtained, concentrated and digested from urine of six PCa patients (Gleason score 7) and six BPH patients
- The resulting peptide mixtures were TMT-labeled and mixed prior to a multi-faceted sample processing including hydrophilic interaction liquid chromatography (HILIC) and titanium dioxide SPE based enrichment, endo-/exoglycosidase treatment and HILIC-HPLC pre-fractionation
- The isolated N- and O-glycopeptides were detected and quantified using high resolution mass spectrometry
- We accurately quantified 729 N-glycoproteins spanning 1,310 unique N-glycosylation sites and observed 954 and 965 unique intact N- and O-glycopeptides , respectively, across the two disease conditions
- Importantly, a panel of 56 intact N-glycopeptides perfectly discriminated PCa and BPH (ROC: AUC = 1)
- This study has generated a panel of intact glycopeptides that has a potential for PCa detection
Output (sent_index, trigger,
protein,
sugar,
site):
- 0. glycoprotein, , glycoprotein, -, -
- 10. glycopeptides, , -, -, glycopeptides
- 3. glycoprotein, , glycoprotein, -, -
- 4. O-glycoproteins, , O-glycoproteins, -, -
- 7. O-glycopeptides, , -, -, O-glycopeptides
- 8. N-glycoproteins, , N-glycoproteins, -, -
- 8. N-glycosylation, , -, -, sites
- 8. O-glycopeptides, , -, -, O-glycopeptides
- 9. N-glycopeptides, , -, -, N-glycopeptides
Output(Part-Of) (sent_index,
protein,
site):
*Output_Site_Fusion* (sent_index,
protein,
sugar,
site):